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Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex
BACKGROUND: Bipolar disorder is highly heritable and polygenic. The polygenic risk for bipolar disorder overlaps with that of schizophrenia, and polygenic scores are normally distributed in the population. Bipolar disorder has been associated with structural brain abnormalities, but it is unknown ho...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CMA Joule Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519489/ https://www.ncbi.nlm.nih.gov/pubmed/34291628 http://dx.doi.org/10.1503/jpn.200165 |
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author | Abé, Christoph Petrovic, Predrag Ossler, William Thompson, William H. Liberg, Benny Song, Jie Bergen, Sarah E. Sellgren, Carl M. Fransson, Peter Ingvar, Martin Landén, Mikael |
author_facet | Abé, Christoph Petrovic, Predrag Ossler, William Thompson, William H. Liberg, Benny Song, Jie Bergen, Sarah E. Sellgren, Carl M. Fransson, Peter Ingvar, Martin Landén, Mikael |
author_sort | Abé, Christoph |
collection | PubMed |
description | BACKGROUND: Bipolar disorder is highly heritable and polygenic. The polygenic risk for bipolar disorder overlaps with that of schizophrenia, and polygenic scores are normally distributed in the population. Bipolar disorder has been associated with structural brain abnormalities, but it is unknown how these are linked to genetic risk factors for psychotic disorders. METHODS: We tested whether polygenic risk scores for bipolar disorder and schizophrenia predict structural brain alterations in 98 patients with bipolar disorder and 81 healthy controls. We derived brain cortical thickness, surface area and volume from structural MRI scans. In post-hoc analyses, we correlated polygenic risk with functional hub strength, derived from resting-state functional MRI and brain connectomics. RESULTS: Higher polygenic risk scores for both bipolar disorder and schizophrenia were associated with a thinner ventromedial prefrontal cortex (vmPFC). We found these associations in the combined group, and separately in patients and drug-naive controls. Polygenic risk for bipolar disorder was correlated with the functional hub strength of the vmPFC within the default mode network. LIMITATIONS: Polygenic risk is a cumulative measure of genomic burden. Detailed genetic mechanisms underlying brain alterations and their cognitive consequences still need to be determined. CONCLUSION: Our multimodal neuroimaging study linked genomic burden and brain endophenotype by demonstrating an association between polygenic risk scores for bipolar disorder and schizophrenia and the structure and function of the vmPFC. Our findings suggest that genetic factors might confer risk for psychotic disorders by influencing the integrity of the vmPFC, a brain region involved in self-referential processes and emotional regulation. Our study may also provide an imaging–genetics vulnerability marker that can be used to help identify individuals at risk for developing bipolar disorder. |
format | Online Article Text |
id | pubmed-8519489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | CMA Joule Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85194892021-10-17 Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex Abé, Christoph Petrovic, Predrag Ossler, William Thompson, William H. Liberg, Benny Song, Jie Bergen, Sarah E. Sellgren, Carl M. Fransson, Peter Ingvar, Martin Landén, Mikael J Psychiatry Neurosci Research Paper BACKGROUND: Bipolar disorder is highly heritable and polygenic. The polygenic risk for bipolar disorder overlaps with that of schizophrenia, and polygenic scores are normally distributed in the population. Bipolar disorder has been associated with structural brain abnormalities, but it is unknown how these are linked to genetic risk factors for psychotic disorders. METHODS: We tested whether polygenic risk scores for bipolar disorder and schizophrenia predict structural brain alterations in 98 patients with bipolar disorder and 81 healthy controls. We derived brain cortical thickness, surface area and volume from structural MRI scans. In post-hoc analyses, we correlated polygenic risk with functional hub strength, derived from resting-state functional MRI and brain connectomics. RESULTS: Higher polygenic risk scores for both bipolar disorder and schizophrenia were associated with a thinner ventromedial prefrontal cortex (vmPFC). We found these associations in the combined group, and separately in patients and drug-naive controls. Polygenic risk for bipolar disorder was correlated with the functional hub strength of the vmPFC within the default mode network. LIMITATIONS: Polygenic risk is a cumulative measure of genomic burden. Detailed genetic mechanisms underlying brain alterations and their cognitive consequences still need to be determined. CONCLUSION: Our multimodal neuroimaging study linked genomic burden and brain endophenotype by demonstrating an association between polygenic risk scores for bipolar disorder and schizophrenia and the structure and function of the vmPFC. Our findings suggest that genetic factors might confer risk for psychotic disorders by influencing the integrity of the vmPFC, a brain region involved in self-referential processes and emotional regulation. Our study may also provide an imaging–genetics vulnerability marker that can be used to help identify individuals at risk for developing bipolar disorder. CMA Joule Inc. 2021-07-22 /pmc/articles/PMC8519489/ /pubmed/34291628 http://dx.doi.org/10.1503/jpn.200165 Text en © 2021 CMA Joule Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Research Paper Abé, Christoph Petrovic, Predrag Ossler, William Thompson, William H. Liberg, Benny Song, Jie Bergen, Sarah E. Sellgren, Carl M. Fransson, Peter Ingvar, Martin Landén, Mikael Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title | Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title_full | Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title_fullStr | Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title_full_unstemmed | Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title_short | Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
title_sort | genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519489/ https://www.ncbi.nlm.nih.gov/pubmed/34291628 http://dx.doi.org/10.1503/jpn.200165 |
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